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Text Simplification

Text Simplification is the task of reducing the complexity of the vocabulary and sentence structure of text while retaining its original meaning, with the goal of improving readability and understanding. Simplification has a variety of important societal applications, for example increasing accessibility for those with cognitive disabilities such as aphasia, dyslexia, and autism, or for non-native speakers and children with reading difficulties.

Source: Multilingual Unsupervised Sentence Simplification

Papers

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Showing 1–50 of 468 papers

TitleStatusHype
Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal TransportCode0
Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked DataCode0
Automated Feedback Loops to Protect Text Simplification with Generative AI from Information Loss—0
Resource for Error Analysis in Text Simplification: New Taxonomy and Test Collection—0
A Structured Literature Review on Traditional Approaches in Current Natural Language Processing—0
LLM-based Text Simplification and its Effect on User Comprehension and Cognitive Load—0
SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification—0
Evaluation Under Imperfect Benchmarks and Ratings: A Case Study in Text Simplification—0
Automatic Input Rewriting Improves Translation with Large Language ModelsCode1
Aligning Sentence Simplification with ESL Learner's Proficiency for Language AcquisitionCode0
Eye Tracking Based Cognitive Evaluation of Automatic Readability Assessment Measures—0
Improving Estonian Text Simplification through Pretrained Language Models and Custom Datasets—0
Evaluating GenAI for Simplifying Texts for Education: Improving Accuracy and Consistency for Enhanced Readability—0
DisSim-FinBERT: Text Simplification for Core Message Extraction in Complex Financial Texts—0
Progressive Document-level Text Simplification via Large Language Models—0
Simple is not Enough: Document-level Text Simplification using Readability and Coherence—0
M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models—0
SiTSE: Sinhala Text Simplification Dataset and EvaluationCode0
VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models—0
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models—0
Society of Medical Simplifiers—0
SciGisPy: a Novel Metric for Biomedical Text Simplification via Gist Inference Score—0
Label Confidence Weighted Learning for Target-level Sentence Simplification—0
ReXplain: Translating Radiology into Patient-Friendly Video Reports—0
Language Resources in Spanish for Automatic Text Simplification across Domains—0
Analysing Zero-Shot Readability-Controlled Sentence Simplification—0
BERTScoreVisualizer: A Web Tool for Understanding Simplified Text Evaluation with BERTScoreCode0
Exploring Large Language Models to generate Easy to Read content—0
SATS: simplification aware text summarization of scientific documents—0
Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report SimplificationCode0
Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese—0
The SAMER Arabic Text Simplification Corpus—0
Spivavtor: An Instruction Tuned Ukrainian Text Editing Model—0
The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews—0
Simpler becomes Harder: Do LLMs Exhibit a Coherent Behavior on Simplified Corpora?Code0
EASSE-DE: Easier Automatic Sentence Simplification Evaluation for GermanCode0
Evaluating Document Simplification: On the Importance of Separately Assessing Simplicity and Meaning Preservation—0
REFeREE: A REference-FREE Model-Based Metric for Text SimplificationCode0
ARTiST: Automated Text Simplification for Task Guidance in Augmented RealityCode0
mEdIT: Multilingual Text Editing via Instruction TuningCode1
MultiLS: A Multi-task Lexical Simplification Framework—0
The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models—0
Digital Comprehensibility Assessment of Simplified Texts among Persons with Intellectual Disabilities—0
German Text Simplification: Finetuning Large Language Models with Semi-Synthetic DataCode0
MedTSS: transforming abstractive summarization of scientific articles with linguistic analysis and concept reinforcementCode0
InfoLossQA: Characterizing and Recovering Information Loss in Text SimplificationCode0
Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement LearningCode0
Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading ComprehensionCode0
Data and Approaches for German Text simplification -- towards an Accessibility-enhanced Communication—0
Exploring Automatic Text Simplification of German Narrative DocumentsCode0
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All datasetsTurkCorpusASSETNewselaPWKP / WikiSmallDEplain-APA-docDEplain-web-docEurekaAlertDEplain-APA-sentDEplain-web-sentWikiLargeFRWiki-Auto + Turk

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-175B (6 SARI-selected examples, high/low)SARI (EASSE>=0.2.1)43.46—Unverified
2MUSS (BART+ACCESS Supervised)SARI (EASSE>=0.2.1)42.53—Unverified
3Control Prefixes (BART)SARI (EASSE>=0.2.1)42.32—Unverified
4TSTSARI (EASSE>=0.2.1)41.46—Unverified
5ACCESSSARI (EASSE>=0.2.1)41.38—Unverified
6MUSS (BART+ACCESS Unsupervised)SARI (EASSE>=0.2.1)40.85—Unverified
7DMASS-DCSSSARI (EASSE>=0.2.1)40.45—Unverified
8SBMT-SARISARI (EASSE>=0.2.1)39.56—Unverified
9EditNTSSARI (EASSE>=0.2.1)38.22—Unverified
10PBMT-RSARI (EASSE>=0.2.1)38.04—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-175B (15 SARI-selected examples, random ordering)BLEU73.92—Unverified
2MUSS (BART+ACCESS Supervised)BLEU72.98—Unverified
3Control Prefixes (BART)SARI (EASSE>=0.2.1)43.58—Unverified
4TSTSARI (EASSE>=0.2.1)43.21—Unverified
5MUSS (BART+ACCESS Unsupervised)SARI (EASSE>=0.2.1)42.65—Unverified
6ACCESSSARI (EASSE>=0.2.1)40.13—Unverified
7DMASS-DCSSSARI (EASSE>=0.2.1)38.67—Unverified
8Dress-LSSARI (EASSE>=0.2.1)36.59—Unverified
9UNTS (Unsupervised)SARI (EASSE>=0.2.1)35.19—Unverified
10PBMT-RSARI (EASSE>=0.2.1)34.63—Unverified
#ModelMetricClaimedVerifiedStatus
1CRF Alignment + TransformerSARI36.6—Unverified
2Pointer + Multi-task Entailment and Paraphrase GenerationSARI33.22—Unverified
3EditNTSSARI31.41—Unverified
4S2S-Cluster-FASARI30.73—Unverified
5Edit-Unsup-TSSARI30.44—Unverified
6NSELSTM-SSARI29.58—Unverified
7NSELSTM-BSARI27.42—Unverified
8DRESSSARI27.37—Unverified
9DMASS + DCSSSARI27.28—Unverified
10DRESS-LSSARI26.63—Unverified
#ModelMetricClaimedVerifiedStatus
1NSELSTM-BBLEU53.42—Unverified
2TSTSARI44.67—Unverified
3UNSUPBLEU38.47—Unverified
4DRESS-LSBLEU36.32—Unverified
5DRESSBLEU34.53—Unverified
6EditNTSSARI32.35—Unverified
7NSELSTM-SBLEU29.72—Unverified
8Pointer + Multi-task Entailment and Paraphrase GenerationBLEU27.23—Unverified
#ModelMetricClaimedVerifiedStatus
1long-mBART (trained on DEplain-APA-doc)SARI (EASSE>=0.2.1)44.56—Unverified
2long-mBART (trained on DEplain-APA-doc & DEplain-web-doc)SARI (EASSE>=0.2.1)42.86—Unverified
3long-mBART (trained on DEplain-web-doc)SARI (EASSE>=0.2.1)35.02—Unverified
#ModelMetricClaimedVerifiedStatus
1long-mBART (trained on DEplain-APA-doc & DEplain-web-doc)SARI (EASSE>=0.2.1)49.75—Unverified
2long-mBART (trained on DEplain-web-doc)SARI (EASSE>=0.2.1)49.58—Unverified
3long-mBART (trained on DEplain-APA-doc)SARI (EASSE>=0.2.1)43.09—Unverified
#ModelMetricClaimedVerifiedStatus
1SATSSARI40.83—Unverified
2MedTSS-BART (Without Training)Rouge135.17—Unverified
3HTSSRouge121.94—Unverified
#ModelMetricClaimedVerifiedStatus
1mBART (trained on DEplain-APA-sent & DEplain-web-sent)SARI (EASSE>=0.2.1)34.9—Unverified
2mBART (trained on DEplain-APA-sent)SARI (EASSE>=0.2.1)34.82—Unverified
#ModelMetricClaimedVerifiedStatus
1mBART (trained on DEplain-APA-sent & DEplain-web-sent)SARI (EASSE>=0.2.1)34.83—Unverified
2mBART (trained on DEplain-APA-sent)SARI (EASSE>=0.2.1)30.87—Unverified
#ModelMetricClaimedVerifiedStatus
1mT5 (fine-tuned on MULTI-SIM)SARI39.23—Unverified
2LSTMSARI39.05—Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)BLEU-490.81—Unverified